Active Fault Diagnosis for LPV Systems: An Index-Based Approach

被引：0

作者：

Zhang, Zhao ^{[1
]}

Guo, Yaqi ^{[1
]}

He, Xiao ^{[2
]}

机构：

[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

[2] Tsinghua Univ, Dept Automat, BNRist, Beijing 100084, Peoples R China

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2023年 / 72卷

基金：

中国国家自然科学基金;

关键词：

Uncertainty; Fault diagnosis; Stochastic processes; Indexes; Generators; Probability density function; Quadratic programming; Active fault diagnosis (AFD); auxiliary input; index-based method; linear parameter-varying (LPV) systems; uncertain Gaussian zonotope (UGZ);

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article investigates the active fault diagnosis (AFD) problem for linear parameter-varying (LPV) systems. The system uncertainties, including system disturbances, noises, and initial conditions, are characterized by uncertain Gaussian zonotopes (UGZs). An index-based AFD scheme is proposed, which can avoid the requirement of complete separation of output sets of different system modes and reduce conservatism to a certain extent. A new index is proposed to characterize the similarity between two zonotopes. According to this index, the auxiliary input is designed by solving a quadratic programming problem. A novel fault diagnosis strategy is proposed to determine which mode the system is actually operating in. A numerical example is presented to demonstrate the effectiveness of the proposed approach.

引用

页数：8

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